I’ve been working on a framework of applying socio-semantic network analysis to discourse data. Socio-semantic networks are two-mode, dual-layer networks that are made of actors (e.g., learners), semantic entities (e.g., words), and their relations. Socio-semantic network analysis brings together the study of relations among actors (human networks), relations among semantic elements (semantic networks), and relations among these two orders of networks (Basov et al., 2020). Such a dual-layer network analysis approach is not only useful for examining the duality of socio-semantic relations, it also applies to other settings such as socio-ecological analysis that’s interested in the interactions between social structures and ecological resources (Bodin & Tengö, 2012).
Listening to podcasts has become a new habit of mine during the pandemic, when cooking or doing dishes, on the way to pick up my toddler, or when my eyes need a break from the screen. Last week, I listened to an interesting episode of the EdSurge Podcast titled What Role Should AI Play in Education? A Venture Capitalist and an EdTech Critic Face Off. This episode features a discussion between Neil Selwyn and venture capitalist Ryan Craig.
Some initial thoughts on knowledge infrastructures and what it means for knowledge building.
Over the years, I have been interested in scholarly workflows and, more recently, knowledge infrastructures – for both knowledge workers and young learners. It has become a hobby for myself to reflect on my own workflows and explore tools that I could add to improve my scholarly practice. I was interested enough in this topic to give a talk on this topic (in Mandarin) last summer. Annotation software as knowledge infrastructure Annotation is, and has always been, an important part of knowledge processes.
This year’s Knowledge Building Summer Institute (KBSI) is going to be special. First, it’s held near the end of November, for the first time in summer for folks from the Southern Hemisphere. Second, the conference is going to be virtual, following a hybrid synchronous–asynchronous model. Much work will be done in Knowledge Forum asynchronously before interactive sessions in Zoom on the conference days. Last but not least, this year’s conference will feature a global KB design experiment, Saving the Planet, Saving Lives, led by colleagues from Ontario and Singpapore.
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